906 search results - page 122 / 182 » Games for Learning and Learning from Games |
CIA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
NIPS
2004
13 years 10 months ago
2004
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
LAMAS
2005
Springer
14 years 2 months ago
2005
Springer
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
COLT
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. We provide a natural learning process in which the joint frequency of empirical play converges into the set of convex combinations of Nash equilibria. In this process, al...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....